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update cpm_cv.m #8

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25 changes: 12 additions & 13 deletions matlab/func/cpm_cv.m
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Original file line number Diff line number Diff line change
Expand Up @@ -7,27 +7,26 @@
% y_test y data used for testing
% y_predict Predictions of y data used for testing

% Split data
% cross-validation indices
nsubs=size(x,2);
randinds=randperm(nsubs);
ksample=floor(nsubs/kfolds);
all_ind=[];
fold_size=floor(nsubs/kfolds);
for idx=1:kfolds
all_ind=[all_ind; idx*ones(fold_size, 1)];
end
leftover=mod(nsubs, kfolds);
indices=[all_ind; randperm(kfolds, leftover)'];
indices=indices(randperm(length(indices)));

y_predict = zeros(nsubs, 1);
% Run CPM over all folds
fprintf('\n# Running over %1.0f Folds.\nPerforming fold no. ',kfolds);
for leftout = 1:kfolds
fprintf('%1.0f ',leftout);

if kfolds == nsubs % doing leave-one-out
testinds=randinds(leftout);
traininds=setdiff(randinds,testinds);
else
si=1+((leftout-1)*ksample);
fi=si+ksample-1;

testinds=randinds(si:fi);
traininds=setdiff(randinds,testinds);
end
testinds=(indices==leftout);
traininds=(indices~=leftout);


% Assign x and y data to train and test groups
x_train = x(:,traininds);
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